Dec 7, 2018 · This article explores key building blocks of edge ML, different neural network architectural splits and their inherent tradeoffs.

The new breed of intelligent devices and high-stake applications (drones, augmented/virtual reality, autonomous systems, and so on) requires a novel paradigm.

Oct 22, 2024 · Devices at the edge of wireless networks are the last mile data sources for machine learning (ML). As opposed to traditional ready-made public ...

Apr 24, 2019 · The evolutionary part of 5G (eMBB) has made great strides focusing primarily on the use of high frequency bands + Numerology.

Apr 9, 2019 · Cloud-Run: Computationally intensive à difficult to deploy on embedded devices with limited compute/memory constraints.

Dec 7, 2018 · By imbuing intelligence into the network edge, edge nodes can proactively carry out decision-making, and thereby react to local environmental ...

Edge intelligence has attracted great attention from the academic and industrial communities all over the world. It enables to run deep model locally on an IoT ...

Wireless Network Intelligence at the Edge · List of references · Publications that cite this publication.

Edge intelligence has attracted great attention from the academic and industrial communities all over the world. It enables to run deep model locally on an IoT ...

This talk will present the vision of distributed edge intelligence for resource-constrained devices accompanied featuring key enablers, architectures, ...